• International Commerce and Information Review
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• v.13 no.1
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• pp.245-270
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• 2011

It is known that weak competitiveness of micro enterprises can be overcome when they are organized with enterprise associations, franchise systems, and joint affiliation. In this paper, we empirically analyze the determinants of organization of micro enterprises, and propose the policy implementations to enhance the competitiveness of micro enterprises as a measure to reduce trade conflict due to SSM entry restrictions. Logit estimation results based on survey data consisted of 467 samples, show that insufficient labor force and high material costs had negative effects on organization. The unexpected findings generally support the rationale that organization is not helpful to solve insufficient labor force and high material costs. However, the decrease in sales due to the economic recession and the decreasing number of customers due to customer transition to large enterprises had a more positive effect on organization than usually expected. There are differences in estimation results between two types of business(restaurants and retail). In case of the restaurant business, insufficient labor force, high material costs and a decreasing of number of customers are important factors for organization, while the sales decrease is a relatively important factor in the case of retail businesses.

• International Commerce and Information Review
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• v.18 no.1
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• pp.55-78
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• 2016

This paper discusses on Electronic Payment System between U.S.A. and Canada. In particular, I focused on ACSS compare with FedACH(Fed Automated Clearing House) to advance a research effects. Because both of them is a low-value, high-volume retail payment system which their countries represent. The ACSS(Automated Clearing Settlement System) is the system through which the vast majority of CPA payment items are cleared, through various payment streams. In 2014, ACSS system cleared approximately 6.8billion payments worth a total value of $ 44.9 trillion. While, The FedACH Network are the center of America Commerce, moving more than $40 trillion each year. That's made up of almost 23 billion electronic financial transaction, including direct deposit via ACH, social security and government benefits, electronic bill payments such as utility and mortgage payments. Thus in this article, first of all, I considered features of payment system and the types of payment items between ACSS and FedAch. Second, I analyzed the status of central bank and legal background. Third, I focused on the operational policy and risk aversion policy. Lastly, I suggested that their payment and banking system have to assume, with good reason, more efficiently accurately and securely operation to protect their customer from credit risk and financial fraud.

• The Korean Journal of Applied Statistics
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• v.32 no.2
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• pp.173-185
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• 2019

Causal questions are prevalent in scientific research, for example, how effective a treatment was for preventing an infectious disease, how much a policy increased utility, or which advertisement would give the highest click rate for a given customer. Causal inference theory in statistics interprets those questions as inferring the effect of a given intervention (treatment or policy) in the data generating process. Causal inference has been used in medicine, public health, and economics; in addition, it has received recent attention as a tool for data-driven decision making processes. Many recent datasets are observational, rather than experimental, which makes the causal inference theory more complex. This review introduces key concepts and recent trends of statistical causal inference in observational studies. We first introduce the Neyman-Rubin's potential outcome framework to formularize from causal questions to average treatment effects as well as discuss popular methods to estimate treatment effects such as propensity score approaches and regression approaches. For recent trends, we briefly discuss (1) conditional (heterogeneous) treatment effects and machine learning-based approaches, (2) curse of dimensionality on the estimation of treatment effect and its remedies, and (3) Pearl's structural causal model to deal with more complex causal relationships and its connection to the Neyman-Rubin's potential outcome model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.151-161
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• 2021

The purpose of this study was to identify citizens' needs and what they perceive the health-related problems are so public opinion can be reflected in the Daegu Community Health Plan. A citizen participation group was organized, and two roundtable discussions were held in June and July 2018. The number of participants in the first and second round was 40 and 44, respectively. Customer itinerary guidance, DVDM (Definition, Value, Difficulty, and Method) Map, and Persona-based scenario method were used for the roundtable discussions. The measures to improve the health status proposed by the citizens included expanding access to health services, establishing health services centered on small-living areas, expanding mental health services, creating health-friendly environments, resolving environmental problems, and improving social health. In addition, enhancing communication and creating harmonized environments, improving access to healthcare, generating pleasant physical environments, and assigning socials roles for vulnerable individuals were brought up as the means to resolve health disparities. The strength of the present study lies in the fact that, unlike survey methods, the citizens' exact needs were identified by sharing their thoughts. Moreover, it was proven that practical measures would be needed to implement citizen participation in planning health-related projects.

• Journal of Digital Policy
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• v.3 no.2
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• pp.1-14
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• 2024

The purpose of this study was to analyze the effect of SNS marketing characteristics on hair shop image formation and visit intention in the hair beauty industry. SNS marketing is a strategy to carry out marketing activities through interaction with customers, information provision, information trust, and playfulness using modern social media platforms. It was intended to analyze how these characteristics of SNS marketing affect the formation of hair shop images and visit intention to customers in the hair beauty industry. For the study, a total of 307 customers with experience using hair-related SNS were surveyed. The questionnaire included items related to SNS marketing characteristics, hair shop images, and visit intention, and the collected data was statistically analyzed using SPSS 26.0. The results of the research problem were derived by applying analysis methods such as frequency analysis, factor analysis, reliability analysis, correlation analysis, simple regression analysis, multiple regression analysis, and mediated regression analysis. As a result of the study, it was found that information provision, information reliability, playfulness, and interaction, which are characteristics of SNS marketing, have a positive effect on the formation of hair shop images. In addition, it was confirmed that the hair shop image had a positive effect on the intention to visit. In addition, it was found that the hair shop image plays a mediating role between the SNS marketing characteristics and the intention to visit. This provides important insights that can improve image formation and customer visit intention in the hair beauty industry through SNS marketing.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.319-326
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• 2014

According to the increasing mobile security users who have experienced authentication failure by forgetting passwords, user names, or a response to a knowledge-based question have preference for biological information such as hand geometry, fingerprints, voice in personal identification and authentication. Therefore biometric verification of personal identification and authentication for mobile security provides assurance to both the customer and the seller in the internet. Our study focuses on human hand biometric information recognition system for personal identification and personal Authentication, including its shape, palm features and the lengths and widths of the fingers taken from mobile phone photographs such as iPhone4 and galaxy s2. Our hand biometric information recognition system consists of six steps processing: image acquisition, preprocessing, removing noises, extracting standard hand feature extraction, individual feature pattern extraction, hand biometric information recognition for personal identification and authentication from input images. The validity of the proposed system from mobile phone image is demonstrated through 93.5% of the sucessful recognition rate for 250 experimental data of hand shape images and palm information images from 50 subjects.

• Journal of Navigation and Port Research
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• v.31 no.3 s.119
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• pp.179-186
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• 2007

Fierce competition to attract the increasing container cargoes of north China in competitive ports has make port marketing to be desperate necessity. In this situation, port marketing of Incheon container ports is requisite conditions to leap one step. Therefore, this study aims to propose core factors for marketing strategy by the feasible marketing analysis. The major shows as follows. Incheon is required to adjust port tariff and handling cost by incentive policy, enhance service coming alongside the berth, increase efficiency of port handling service and inland transportation system.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.79-89
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• 2013

The purpose of this study is to examine the moderating effects of social contribution activities perception between brand loyalty and marketing strategies. First, this thesis has reviewed that marketing mix 4P's(product, price, promotion, place) still influence on the brand royalty on smart-phone market. Second, this research examined that perception on social contribution activities is an important moderate variable between marketing activities and brand royalty. Also, this research found that moderating effect of social contribution activities perception is more significant at the high-perception group on social contribution activities than low-perception group. Finally, this study verified that product/price/promotion strategy and social contribution activities have effect on brand royalty depend on social contribution activities perception. Recently many businesses are using Corporate Social Responsibility(CSR) as a strategic tool and also social interests on the effect of CSR are increasing. Therefore, this study reaffirmed by the CSR that affect customer brand loyalty, are expected to contribute to improve awareness of CSR activities.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.147-155
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• 2014

Social commerce is a combination of social media and shopping. Social commerce, based on Web 2.0 technologies, has the various potentials, which is the factor attracting customers. In Korea, collegians are more active user of social media, in turn, are estimated more active customer in social commerce context. Present research explored what made Korean collegians use social commerce with extending technology acceptance model(TAM) with word-of-mouth(WOM) and perceived enjoyment(PE). We found that WOM affected indirectly the intention to use(ITU) with mediating PE, in turn, PE has a positive effect on the all of constructs in TAM. Accordingly, TAM extended with WOM and PE is validated in social commerce context. Finally, based on the findings, implications and suggestions for future studies are discussed.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.95-106
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• 2016

The major thrust of this research focuses on the development of phased big data distribution model based on the big data ecosystem. This model consists of 3 phases. In phase 1, data intermediaries are participated in this model and transaction functions are provided. This system consists of general control systems, registrations, and transaction management systems. In phase 2, trading support systems with data storage, analysis, supply, and customer relation management functions are designed. In phase 3, transaction support systems and linked big data distribution portal systems are developed. Recently, emerging new data distribution models and systems are evolving and substituting for past data management system using new technology and the processes in data science. The proposed model may be referred as criteria for industrial standard establishment for big data distribution and transaction models in the future.